Dear R users, I'm struggling with a simple "merge". I have an external file called df.txt like data_POSIX, event 2005-11-14 02:30:00, "start" 2005-11-14 11:30:00, "end" I load it with df1 <- read.table(file="df.txt", header=TRUE, sep=",", dec = ".", stringsAsFactors=FALSE) df1$data_POSIX <- as.POSIXct(df1$data_POSIX, format="%Y-%m-%d %H:%M:%S", tz="Etc/GMT-1") Then I create a new data frame df2: day_1 <- as.POSIXct("2005-11-14-00-00", format="%Y-%m-%d-%H-%M", tz="Etc/GMT-1") day_2 <- as.POSIXct("2005-11-14-12-00", format="%Y-%m-%d-%H-%M", tz="Etc/GMT-1") df2 <- data.frame(data_POSIX=seq(day_1, day_2, by="30 min")) Finally df3 <- merge(df2, df1, by=c("data_POSIX"), all.x=TRUE) gives data_POSIX event 1 2005-11-14 00:00:00 <NA> 2 2005-11-14 00:30:00 <NA> 3 2005-11-14 01:00:00 <NA> 4 2005-11-14 01:30:00 <NA> 5 2005-11-14 02:00:00 <NA> 6 2005-11-14 02:30:00 start 7 2005-11-14 03:00:00 <NA> 8 2005-11-14 03:30:00 <NA> 9 2005-11-14 04:00:00 <NA> 10 2005-11-14 04:30:00 <NA> 11 2005-11-14 05:00:00 <NA> 12 2005-11-14 05:30:00 <NA> 13 2005-11-14 06:00:00 <NA> 14 2005-11-14 06:30:00 <NA> 15 2005-11-14 07:00:00 <NA> 16 2005-11-14 07:30:00 <NA> 17 2005-11-14 08:00:00 <NA> 18 2005-11-14 08:30:00 <NA> 19 2005-11-14 09:00:00 <NA> 20 2005-11-14 09:30:00 <NA> 21 2005-11-14 10:00:00 <NA> 22 2005-11-14 10:30:00 <NA> 23 2005-11-14 11:00:00 <NA> 24 2005-11-14 11:30:00 end 25 2005-11-14 12:00:00 <NA> Why there is <NA> instead of NA? And why df3$pch[df3$event == "start"] <- 24 gives a whole column of NA and not 24 at row 6? (oo) --oOO--( )--OOo---------------- Stefano Sofia PhD Civil Protection - Marche Region Meteo Section Snow Section Via del Colle Ameno 5 60126 Torrette di Ancona, Ancona Uff: 071 806 7743 E-mail: stefano.sofia at regione.marche.it ---Oo---------oO---------------- ________________________________ AVVISO IMPORTANTE: Questo messaggio di posta elettronica pu? contenere informazioni confidenziali, pertanto ? destinato solo a persone autorizzate alla ricezione. I messaggi di posta elettronica per i client di Regione Marche possono contenere informazioni confidenziali e con privilegi legali. Se non si ? il destinatario specificato, non leggere, copiare, inoltrare o archiviare questo messaggio. Se si ? ricevuto questo messaggio per errore, inoltrarlo al mittente ed eliminarlo completamente dal sistema del proprio computer. Ai sensi dell?art. 6 della DGR n. 1394/2008 si segnala che, in caso di necessit? ed urgenza, la risposta al presente messaggio di posta elettronica pu? essere visionata da persone estranee al destinatario. IMPORTANT NOTICE: This e-mail message is intended to be received only by persons entitled to receive the confidential information it may contain. E-mail messages to clients of Regione Marche may contain information that is confidential and legally privileged. Please do not read, copy, forward, or store this message unless you are an intended recipient of it. If you have received this message in error, please forward it to the sender and delete it completely from your computer system. -- Questo messaggio stato analizzato da Libra ESVA ed risultato non infetto. This message was scanned by Libra ESVA and is believed to be clean. [[alternative HTML version deleted]]
Hi Stefano, For the merge() part, I'll leave it to more expert users (I rarely use merge(), and every time I need it, it's painful...). To know why <NA> instead of NA, check the results with str(df3); I guess it is not the mode you expected. For more details, you should provide the file, or better a reproducible example using dput(). For the second part, your syntax was not correct (subsetting a column for elements based on a column that is not part of the subset!). And there is no column "pch" in your example. Try: df3[df3$event == "start", "event"] <- 24 HTH, Ivan -- Dr. Ivan Calandra TraCEr, laboratory for Traceology and Controlled Experiments MONREPOS Archaeological Research Centre and Museum for Human Behavioural Evolution Schloss Monrepos 56567 Neuwied, Germany +49 (0) 2631 9772-243 https://www.researchgate.net/profile/Ivan_Calandra On 29/09/2020 9:59, Stefano Sofia wrote:> Dear R users, > I'm struggling with a simple "merge". > > I have an external file called df.txt like > > data_POSIX, event > 2005-11-14 02:30:00, "start" > 2005-11-14 11:30:00, "end" > > I load it with > > df1 <- read.table(file="df.txt", header=TRUE, sep=",", dec = ".", stringsAsFactors=FALSE) > df1$data_POSIX <- as.POSIXct(df1$data_POSIX, format="%Y-%m-%d %H:%M:%S", tz="Etc/GMT-1") > > Then I create a new data frame df2: > > day_1 <- as.POSIXct("2005-11-14-00-00", format="%Y-%m-%d-%H-%M", tz="Etc/GMT-1") > day_2 <- as.POSIXct("2005-11-14-12-00", format="%Y-%m-%d-%H-%M", tz="Etc/GMT-1") > df2 <- data.frame(data_POSIX=seq(day_1, day_2, by="30 min")) > > Finally > > df3 <- merge(df2, df1, by=c("data_POSIX"), all.x=TRUE) > > gives > > data_POSIX event > 1 2005-11-14 00:00:00 <NA> > 2 2005-11-14 00:30:00 <NA> > 3 2005-11-14 01:00:00 <NA> > 4 2005-11-14 01:30:00 <NA> > 5 2005-11-14 02:00:00 <NA> > 6 2005-11-14 02:30:00 start > 7 2005-11-14 03:00:00 <NA> > 8 2005-11-14 03:30:00 <NA> > 9 2005-11-14 04:00:00 <NA> > 10 2005-11-14 04:30:00 <NA> > 11 2005-11-14 05:00:00 <NA> > 12 2005-11-14 05:30:00 <NA> > 13 2005-11-14 06:00:00 <NA> > 14 2005-11-14 06:30:00 <NA> > 15 2005-11-14 07:00:00 <NA> > 16 2005-11-14 07:30:00 <NA> > 17 2005-11-14 08:00:00 <NA> > 18 2005-11-14 08:30:00 <NA> > 19 2005-11-14 09:00:00 <NA> > 20 2005-11-14 09:30:00 <NA> > 21 2005-11-14 10:00:00 <NA> > 22 2005-11-14 10:30:00 <NA> > 23 2005-11-14 11:00:00 <NA> > 24 2005-11-14 11:30:00 end > 25 2005-11-14 12:00:00 <NA> > > Why there is <NA> instead of NA? > And why > > df3$pch[df3$event == "start"] <- 24 > > gives a whole column of NA and not 24 at row 6? > > > (oo) > --oOO--( )--OOo---------------- > Stefano Sofia PhD > Civil Protection - Marche Region > Meteo Section > Snow Section > Via del Colle Ameno 5 > 60126 Torrette di Ancona, Ancona > Uff: 071 806 7743 > E-mail: stefano.sofia at regione.marche.it > ---Oo---------oO---------------- > > ________________________________ > > AVVISO IMPORTANTE: Questo messaggio di posta elettronica pu? contenere informazioni confidenziali, pertanto ? destinato solo a persone autorizzate alla ricezione. I messaggi di posta elettronica per i client di Regione Marche possono contenere informazioni confidenziali e con privilegi legali. Se non si ? il destinatario specificato, non leggere, copiare, inoltrare o archiviare questo messaggio. Se si ? ricevuto questo messaggio per errore, inoltrarlo al mittente ed eliminarlo completamente dal sistema del proprio computer. Ai sensi dell?art. 6 della DGR n. 1394/2008 si segnala che, in caso di necessit? ed urgenza, la risposta al presente messaggio di posta elettronica pu? essere visionata da persone estranee al destinatario. > IMPORTANT NOTICE: This e-mail message is intended to be received only by persons entitled to receive the confidential information it may contain. E-mail messages to clients of Regione Marche may contain information that is confidential and legally privileged. Please do not read, copy, forward, or store this message unless you are an intended recipient of it. If you have received this message in error, please forward it to the sender and delete it completely from your computer system. > > -- > Questo messaggio stato analizzato da Libra ESVA ed risultato non infetto. > This message was scanned by Libra ESVA and is believed to be clean. > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.
Hi All, I recreated a new "sintetic" df1 based on df2 and I could merge:> day_1 <- as.POSIXct("2005-11-14-00-00", format="%Y-%m-%d-%H-%M",tz="Etc/GMT-1")> day_2 <- as.POSIXct("2005-11-14-12-00", format="%Y-%m-%d-%H-%M",tz="Etc/GMT-1")> df2 <- data.frame(data_POSIX=seq(day_1, day_2, by="30 min")) > > > > df1 <- data.frame(+ data_POSIX = df2[sample(1:nrow(df2), 15, replace FALSE),], + event = sample(c('start', 'end'), 15, replace = TRUE) + )> > df3 <- merge(df2, df1, by=c("data_POSIX"), all.x=TRUE) > df3data_POSIX event 1 2005-11-14 00:00:00 end 2 2005-11-14 00:30:00 start 3 2005-11-14 01:00:00 <NA> 4 2005-11-14 01:30:00 end 5 2005-11-14 02:00:00 end 6 2005-11-14 02:30:00 start 7 2005-11-14 03:00:00 end 8 2005-11-14 03:30:00 end 9 2005-11-14 04:00:00 start 10 2005-11-14 04:30:00 start 11 2005-11-14 05:00:00 <NA> 12 2005-11-14 05:30:00 <NA> 13 2005-11-14 06:00:00 <NA> 14 2005-11-14 06:30:00 start 15 2005-11-14 07:00:00 <NA> 16 2005-11-14 07:30:00 <NA> 17 2005-11-14 08:00:00 <NA> 18 2005-11-14 08:30:00 <NA> 19 2005-11-14 09:00:00 start 20 2005-11-14 09:30:00 start 21 2005-11-14 10:00:00 <NA> 22 2005-11-14 10:30:00 end 23 2005-11-14 11:00:00 <NA> 24 2005-11-14 11:30:00 end 25 2005-11-14 12:00:00 start Regards, Carlos Ortega On Tue, Sep 29, 2020 at 10:13 AM Ivan Calandra <calandra at rgzm.de> wrote:> Hi Stefano, > > For the merge() part, I'll leave it to more expert users (I rarely use > merge(), and every time I need it, it's painful...). > > To know why <NA> instead of NA, check the results with str(df3); I guess > it is not the mode you expected. > > For more details, you should provide the file, or better a reproducible > example using dput(). > > For the second part, your syntax was not correct (subsetting a column > for elements based on a column that is not part of the subset!). And > there is no column "pch" in your example. Try: > df3[df3$event == "start", "event"] <- 24 > > HTH, > Ivan > > -- > Dr. Ivan Calandra > TraCEr, laboratory for Traceology and Controlled Experiments > MONREPOS Archaeological Research Centre and > Museum for Human Behavioural Evolution > Schloss Monrepos > 56567 Neuwied, Germany > +49 (0) 2631 9772-243 > https://www.researchgate.net/profile/Ivan_Calandra > > On 29/09/2020 9:59, Stefano Sofia wrote: > > Dear R users, > > I'm struggling with a simple "merge". > > > > I have an external file called df.txt like > > > > data_POSIX, event > > 2005-11-14 02:30:00, "start" > > 2005-11-14 11:30:00, "end" > > > > I load it with > > > > df1 <- read.table(file="df.txt", header=TRUE, sep=",", dec = ".", > stringsAsFactors=FALSE) > > df1$data_POSIX <- as.POSIXct(df1$data_POSIX, format="%Y-%m-%d %H:%M:%S", > tz="Etc/GMT-1") > > > > Then I create a new data frame df2: > > > > day_1 <- as.POSIXct("2005-11-14-00-00", format="%Y-%m-%d-%H-%M", > tz="Etc/GMT-1") > > day_2 <- as.POSIXct("2005-11-14-12-00", format="%Y-%m-%d-%H-%M", > tz="Etc/GMT-1") > > df2 <- data.frame(data_POSIX=seq(day_1, day_2, by="30 min")) > > > > Finally > > > > df3 <- merge(df2, df1, by=c("data_POSIX"), all.x=TRUE) > > > > gives > > > > data_POSIX event > > 1 2005-11-14 00:00:00 <NA> > > 2 2005-11-14 00:30:00 <NA> > > 3 2005-11-14 01:00:00 <NA> > > 4 2005-11-14 01:30:00 <NA> > > 5 2005-11-14 02:00:00 <NA> > > 6 2005-11-14 02:30:00 start > > 7 2005-11-14 03:00:00 <NA> > > 8 2005-11-14 03:30:00 <NA> > > 9 2005-11-14 04:00:00 <NA> > > 10 2005-11-14 04:30:00 <NA> > > 11 2005-11-14 05:00:00 <NA> > > 12 2005-11-14 05:30:00 <NA> > > 13 2005-11-14 06:00:00 <NA> > > 14 2005-11-14 06:30:00 <NA> > > 15 2005-11-14 07:00:00 <NA> > > 16 2005-11-14 07:30:00 <NA> > > 17 2005-11-14 08:00:00 <NA> > > 18 2005-11-14 08:30:00 <NA> > > 19 2005-11-14 09:00:00 <NA> > > 20 2005-11-14 09:30:00 <NA> > > 21 2005-11-14 10:00:00 <NA> > > 22 2005-11-14 10:30:00 <NA> > > 23 2005-11-14 11:00:00 <NA> > > 24 2005-11-14 11:30:00 end > > 25 2005-11-14 12:00:00 <NA> > > > > Why there is <NA> instead of NA? > > And why > > > > df3$pch[df3$event == "start"] <- 24 > > > > gives a whole column of NA and not 24 at row 6? > > > > > > (oo) > > --oOO--( )--OOo---------------- > > Stefano Sofia PhD > > Civil Protection - Marche Region > > Meteo Section > > Snow Section > > Via del Colle Ameno 5 > > 60126 Torrette di Ancona, Ancona > > Uff: 071 806 7743 > > E-mail: stefano.sofia at regione.marche.it > > ---Oo---------oO---------------- > > > > ________________________________ > > > > AVVISO IMPORTANTE: Questo messaggio di posta elettronica pu? contenere > informazioni confidenziali, pertanto ? destinato solo a persone autorizzate > alla ricezione. I messaggi di posta elettronica per i client di Regione > Marche possono contenere informazioni confidenziali e con privilegi legali. > Se non si ? il destinatario specificato, non leggere, copiare, inoltrare o > archiviare questo messaggio. Se si ? ricevuto questo messaggio per errore, > inoltrarlo al mittente ed eliminarlo completamente dal sistema del proprio > computer. Ai sensi dell?art. 6 della DGR n. 1394/2008 si segnala che, in > caso di necessit? ed urgenza, la risposta al presente messaggio di posta > elettronica pu? essere visionata da persone estranee al destinatario. > > IMPORTANT NOTICE: This e-mail message is intended to be received only by > persons entitled to receive the confidential information it may contain. > E-mail messages to clients of Regione Marche may contain information that > is confidential and legally privileged. Please do not read, copy, forward, > or store this message unless you are an intended recipient of it. If you > have received this message in error, please forward it to the sender and > delete it completely from your computer system. > > > > -- > > Questo messaggio stato analizzato da Libra ESVA ed risultato non > infetto. > > This message was scanned by Libra ESVA and is believed to be clean. > > > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]